dc.creator | Talaminos Barroso, Alejandro | es |
dc.creator | López Cerero, Lorena | es |
dc.creator | Calvillo Arbizu, Jorge | es |
dc.creator | Pascual Hernández, Álvaro | es |
dc.creator | Roa Romero, Laura María | es |
dc.creator | Rodríguez-Baño, Jesús | es |
dc.date.accessioned | 2021-06-30T16:53:53Z | |
dc.date.available | 2021-06-30T16:53:53Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Talaminos Barroso, A., López Cerero, L., Calvillo Arbizu, J., Pascual Hernández, Á., Roa Romero, L.M. y Rodríguez-Baño, J. (2016). Modelling the epidemiology of Escherichia coli ST131 and the impact of interventions on the community and healthcare centres. Epidemiology and Infection, 144 (9), 1974-1982. | |
dc.identifier.issn | 0950-2688 | es |
dc.identifier.uri | https://hdl.handle.net/11441/114977 | |
dc.description.abstract | ST131 Escherichia coli is an emergent clonal group that has achieved successful worldwide spread
through a combination of virulence and antimicrobial resistance. Our aim was to develop a
mathematical model, based on current knowledge of the epidemiology of ESBL-producing and
non-ESBL-producing ST131 E. coli, to provide a framework enabling a better understanding of
its spread within the community, in hospitals and long-term care facilities, and the potential
impact of specific interventions on the rates of infection. A model belonging to the SEIS
(Susceptible–Exposed–Infected–Susceptible) class of compartmental models, with specific
modifications, was developed. Quantification of the model is based on the law of mass
preservation, which helps determine the relationships between flows of individuals and different
compartments. Quantification is deterministic or probabilistic depending on subpopulation size.
The assumptions for the model are based on several developed epidemiological studies. Based on
the assumptions of the model, an intervention capable of sustaining a 25% reduction in personto-
person transmission shows a significant reduction in the rate of infections caused by ST131;
the impact is higher for non-ESBL-producing ST131 isolates than for ESBL producers. On the
other hand, an isolated intervention reducing exposure to antimicrobial agents has much more
limited impact on the rate of ST131 infection. Our results suggest that interventions achieving a
continuous reduction in the transmission of ST131 in households, nursing homes and hospitals
offer the best chance of reducing the burden of the infections caused by these isolates. | es |
dc.description.sponsorship | Red Española de Investigación en Enfermedades Infecciosas REIPI RD12 / 0015 | es |
dc.description.sponsorship | Fondo de Investigación Sanitaria 070190 | es |
dc.description.sponsorship | Fondo de Investigación Sanitaria 10/02021 | es |
dc.description.sponsorship | Fondo de Investigación Sanitaria 10/01955 | es |
dc.description.sponsorship | Fondo de Investigación Sanitaria 10/00795 | es |
dc.description.sponsorship | Junta de Andalucía 0048/2008 | es |
dc.description.sponsorship | Junta de Andalucía CTS-5259 | es |
dc.description.sponsorship | Junta de Andalucía CTS210 | es |
dc.format | application/pdf | es |
dc.format.extent | 9 p. | es |
dc.language.iso | eng | es |
dc.publisher | Cambridge University Press | es |
dc.relation.ispartof | Epidemiology and Infection, 144 (9), 1974-1982. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Epidemiology | es |
dc.subject | Escherichia coli | es |
dc.subject | ST131 | es |
dc.subject | Extended-spectrum β-lactamases | es |
dc.subject | Mathematical model | es |
dc.subject | Transmission | es |
dc.title | Modelling the epidemiology of Escherichia coli ST131 and the impact of interventions on the community and healthcare centres | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Telemática | |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Microbiología | |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Medicina | |
dc.relation.projectID | REIPI RD12 / 0015 | es |
dc.relation.projectID | 070190 | es |
dc.relation.projectID | 10/02021 | es |
dc.relation.projectID | 10/01955 | es |
dc.relation.projectID | 10/00795 | es |
dc.relation.projectID | 0048/2008 | es |
dc.relation.projectID | CTS-5259 | es |
dc.relation.projectID | CTS210 | es |
dc.relation.publisherversion | http://dx.doi.org/doi:10.1017/S0950268816000030 | es |
dc.identifier.doi | doi:10.1017/S0950268816000030 | es |
dc.contributor.group | Universidad de Sevilla. TIC203: Ingenieria Biomédica | es |
dc.journaltitle | Epidemiology and Infection | es |
dc.publication.volumen | 144 | es |
dc.publication.issue | 9 | es |
dc.publication.initialPage | 1974 | es |
dc.publication.endPage | 1982 | es |
dc.identifier.sisius | 20919174 | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |
dc.contributor.funder | Instituto de Salud Carlos III | es |
dc.contributor.funder | European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER) | es |
dc.contributor.funder | Red Española de Investigación en Enfermedades Infecciosas | es |
dc.contributor.funder | Fondo de Investigación Sanitaria | es |
dc.contributor.funder | Junta de Andalucía | es |